Training large language models (LLMs) on heterogeneous data requires selecting minibatches that balance convergence speed with coverage across domains. Existing methods either select samples ...
Each example comes with C/C++ source code, testbench, a README, and Tcl/Python scripts and/or config file. The examples are organized in categories denoted by the directory names: ...
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